中科微点-全球专利检索

  1. Login
  2. Sign Up

Search Results

27 records (took 0.017 seconds)

    23.
    发明专利
    未知

    公开(公告)号：DE69839088D1

    公开(公告)日：2008-03-20

    申请号：DE69839088

    申请日：1998-03-12

    Applicant: IBM

    Inventor： BIGUS JOSEPH PHILLIP ,  CRAGUN BRIAN JOHN ,  DELP HELEN ROXLO

    IPC: G06F9/46 ,  G06F15/16 ,  G06F9/44 ,  G06F9/50 ,  G06F15/18 ,  G06N3/00 ,  H04L9/28 ,  H04L29/06 ,  H04L29/08

    Abstract: An intelligent agent and its client communicate using a selector known by both parties to generate and interpret messages and thereby effectively disguise confidential information transmitted in the messages from third parties. Moreover, a neural network is used to implement the decision logic and/or the message disguising functions of an agent such that the logic employed in such functions is not readily reverse compiled or scanned by third parties.

    25.
    发明专利
    未知

    公开(公告)号：DE69227648T2

    公开(公告)日：1999-07-01

    申请号：DE69227648

    申请日：1992-04-07

    Applicant: IBM

    Inventor： AUSTVOLD SHAWN MICHAEL ,  BIGUS JOSEPH PHILLIP ,  HENCKEL JONATHAN DAVID ,  HOSPERS PAUL ALAN

    IPC: G06F15/18 ,  G06G7/60 ,  G06N3/02 ,  G06N3/10 ,  G06N99/00 ,  G06F15/80

    Abstract: An enhanced neural network shell for application programs is disclosed. The user is prompted to enter in non-technical information about the specific problem type that the user wants solved by a neural network. The user also is prompted to indicate the input data usage information to the neural network. Based on this information, the neural network shell creates a neural network data structure by automatically selecting an appropriate neural network model and automatically generating an appropriate number of inputs, outputs, and/or other model-specific parameters for the selected neural network model. The user is no longer required to have expertise in neural network technology to create a neural network data structure.

    LOOK-AHEAD METHOD AND APPARATUS FOR PREDICTIVE DIALING USING A NEURAL NETWORK
    27.
    发明专利
    LOOK-AHEAD METHOD AND APPARATUS FOR PREDICTIVE DIALING USING A NEURAL NETWORK 未知

    公开(公告)号：CA2054631C

    公开(公告)日：1996-07-23

    申请号：CA2054631

    申请日：1991-10-31

    Applicant: IBM

    Inventor： BIGUS JOSEPH PHILLIP ,  DIEDRICH RICHARD ALAN ,  SMITH CHARLES ERNEST

    IPC: H04M1/27 ,  G06F15/18 ,  G06N3/00 ,  G06N3/10 ,  H04M1/274 ,  H04M3/36 ,  H04M3/51 ,  H04M3/523 ,  H04Q3/00 ,  H04Q3/545 ,  H04Q1/20 ,  H04M3/42

    Abstract: A predictive dialing system having a computer connected to a telephone switch stores a group of call records in its internal storage. Each call record contains a group of input parameters, including the date, the time, and one or more workload factors. Workload factors can indicate the number of pending calls, the number of available operators, the average idle time, the connection delay, the completion rate, and the nuisance call rate, among other things. Ih the preferred embodiment, each call record also contains a dial action, which indicates whether a call was initiated or not. These call records are analyzed by a neural network to determine a relationship between the input parameters and the dial action stored in each call record. This analysis is done as part of the training process for the neural network. After this relationship is determined, the computer system sends a current group of input parameters to the neural network, and, based on the analysis of the previous call records, the neural network determines whether a call should be initiated or not. The neural network bases its decision on the complex relationship it has learned from its training data -- perhaps several thousand call records spanning several days, months, or even years. The neural network is able to automatically adjust -- in a look ahead, proactive manner -- for slow and fast periods of the day, week, month, and year.

Patent Agency Ranking